2025年度 シラバス学部 2025年度 シラバス学部 2025年度 シラバス学部
| 2025/02/23 現在 |
| コンピテンシーコード表を開く 科目一覧へ戻る |
| 開講学期 ／Semester |
2025年度／Academic Year 3学期 ／Third Quarter |
|---|---|
| 対象学年 ／Course for; |
3年 |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
ホウ ヨンヒョン |
| 担当教員名 ／Instructor |
ホウ ヨンヒョン |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2025/01/21 |
|---|---|
| 授業の概要 ／Course outline |
This course introduces how human languages are designed/structured. Specifically, it will focus on the word, sentence and sound structure of various languages in the world showing structural diversity of human languages as it introduces some basic concepts and terms used in linguistics. Also, some interesting topics related to human language (e.g., “language acquisition”, “language and brain” and “language and thought”) will be discussed. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
[Corresponding Learning Outcomes] (D)Graduates are able to view human society from a global perspective and think about the coexistence of nature and human beings, as well as the happiness, health, and welfare of humankind. (E)Graduates are able to effectively express their thoughts and judgments in writing, orally, and through information media, both inside and outside the country, and to communicate them to others, as well as to understand the information and opinions expressed by others. (F)Graduates are able to determine and carry out the actions they and others, including those from other disciplines, should take and plan and manage work under given constraints in collaborative projects. [Competency Codes] C-EC-009-3, C-EC-012-4, C-EC-013-2 This course aims: 1) to introduce students the basic concepts and terms used in linguistics, 2) to introduce students how languages are structured differently in many respects, and 3) to discuss some interesting topics related to human language. |
| 授業スケジュール ／Class schedule |
Class 1. Course Introduction Class 2. Word formation Class 3. Sentence formation Class 4. Human speech sounds Class 5. Sound systems Class 6. Review for the midterm Class 7. Midterm exam Class 8. Child language acquisition Class 9. Second language acquisition Class 10. Language and thought Class 11. Language and brain Class 12. Multilingualism Class 13. World Englishes Class 14. Review for the final exam Class 15. Final exam |
| 教科書 ／Textbook(s) |
There is no textbook for this course. Course materials (e.g. lecture notes) are available on the course Moodle page. |
| 成績評価の方法・基準 ／Grading method/criteria |
Active Participation: 15% Comprehension Quizzes: 25% Midterm exam: 30% Final exam: 30% Notes: If you miss 4 classes or more, you cannot pass this course. |
| コンピテンシーコード表を開く 科目一覧へ戻る |
| 開講学期 ／Semester |
2025年度／Academic Year 3学期 ／Third Quarter |
|---|---|
| 対象学年 ／Course for; |
3年 |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
金子 恵美子 |
| 担当教員名 ／Instructor |
金子 恵美子 |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2025/01/22 |
|---|---|
| 授業の概要 ／Course outline |
**This class will be offered in the flipped-classroom style. Students will analyze sentences at the micro level and manually draw tree diagrams both in class and as assignments. We will start from simple to more complex sentences and give enough time to learn diagramming techniques. このクラスは反転授業の形式で実施します。 https://facultyinnovate.utexas.edu/instructional-strategies/flipped-classroom 授業中、そして課題として、文構造を表す樹形図を描くことで英文を詳細に分析します。単純な文構造から始め、徐々に複雑な文章を扱い、樹形図の理解のために多くの時間を費やします。 |
| 授業の目的と到達目標 ／Objectives and attainment goals |
[Corresponding Learning Outcomes] (D)Graduates are able to view human society from a global perspective and think about the coexistence of nature and human beings, as well as the happiness, health, and welfare of humankind. (E)Graduates are able to effectively express their thoughts and judgments in writing, orally, and through information media, both inside and outside the country, and to communicate them to others, as well as to understand the information and opinions expressed by others. (F)Graduates are able to determine and carry out the actions they and others, including those from other disciplines, should take and plan and manage work under given constraints in collaborative projects. [Competency codes] C-EC-001-2, C-EC-010-4, C-EC-012-8, C-EC-014-3 By the end of the course, students will acquire sufficient knowledge about sentence structures and be able to analyze sentences syntactically by themselves. この授業を受講した学生は、文構造について十分な知識を習得し、自分で構文論的に英文を分析することができるようになります。 |
| 授業スケジュール ／Class schedule |
Class 1 Introduction, grammar terms Class 2 Noun phrases Class 3 Noun phrases (diagram) Class 4 Noun phrases (diagram) Class 5 Noun phrases (diagram) Class 6 Review for the midterm exam Class 7 Midterm Examination Class 8 Verb phrases 1 Class 9 Verb phrases 2 Class 10 Tense and aspect Class 11 Three kinds of objects 1 Class 12 Three kinds of objects 2 Class 13 Adjectival/adverbial Class 14 Review for the final exam Final Exam Week Final Examination |
| 教科書 ／Textbook(s) |
Uploaded in the Moodle course site Students are required to watch a video and do all the exercises and homework before class. If students do not bring homework to class, they will be marked as "absent". Moodleにアップロード 受講生は授業の前にビデオを観て練習問題をすることが求められます。 練習問題が授業出席の条件になります。 |
| 成績評価の方法・基準 ／Grading method/criteria |
1. Class Participation (Presentations and participation in group work) [10% ] 2. In-class and homework assignments/quizzes [ 15% ] 3. Midterm Exam [ 35% ] 4. Final Exam [ 40% ] |
| 履修上の留意点 ／Note for course registration |
- This class will be offered in the flipped-classroom style. - Successful completion of English Strongly Recommended Courses is highly recommended. この科目は反転授業の形式で行います。 すべての英語SR科目の単位を取得している方が望ましいです。 |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
The course instructor, Emiko Kaneko, worked in Gakken School Management as an English instructor and an academic administrator. She was also in charge of the development and the quality maintenance of English speaking tests in ALC Press. For more information about flipped classroom/反転授業について. https://facultyinnovate.utexas.edu/instructional-strategies/flipped-classroom |
| コンピテンシーコード表を開く 科目一覧へ戻る |
| 開講学期 ／Semester |
2025年度／Academic Year 2学期 ／Second Quarter |
|---|---|
| 対象学年 ／Course for; |
3年 |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
TBD-2 |
| 担当教員名 ／Instructor |
TBD-2 |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2025/01/24 |
|---|---|
| 授業の概要 ／Course outline |
The focus of this course is on the structural properties of human language as illuminated by modern linguistic theory. Topics will include sound patterns, sentence structure, word formation, and meaning. Students will analyze language data from a variety of languages, improving their understanding of linguistic systems and their applications. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
[Corresponding Learning Outcomes] (D) Graduates are able to view human society from a global perspective and think about the coexistence of nature and human beings, as well as the happiness, health, and welfare of humankind. [Competency Codes] C-EC-001-3, C-EC-010-6, C-EC-014-4 By completing this course, students will: 1) Understand patterns seen across human languages. 2) Analyse language data in various languages. 3) Use English to describe linguistic phenomena. 4) Understand how sound patterns can aid in language learning. |
| 授業スケジュール ／Class schedule |
Class 1: Introduction to Linguistics Class 2-4: Speech sounds across languages (Chapter 3: Phonetics) Class 5-6: Sound Patterns across languages (Chapter 4: Phonology) Class 7: Midterm Review Class Class 8: Midterm Exam Class 9-10: Words (Chapter 5: Morphology) Class 11-12: Sentence Structure (Chapter 6: Syntax) Class 13-14: Meaning in Language (Chapter 7: Semantics) |
| 教科書 ／Textbook(s) |
Title: Essentials of Linguistics, 2nd Edition ISBN: 978-1-9275-6550-6 Price: FREE (Online) Access: https://ecampusontario.pressbooks.pub/essentialsoflinguistics2/ |
| 成績評価の方法・基準 ／Grading method/criteria |
Homework Assignments: 30% Midterm Exam: 25% Active participation: 10% Review Activity/Test: 35% |
| コンピテンシーコード表を開く 科目一覧へ戻る |
| 開講学期 ／Semester |
2025年度／Academic Year 4学期 ／Fourth Quarter |
|---|---|
| 対象学年 ／Course for; |
3年 |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
ベンソン スチュアート |
| 担当教員名 ／Instructor |
ベンソン スチュアート |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2025/01/24 |
|---|---|
| 授業の概要 ／Course outline |
. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
. |
| 授業スケジュール ／Class schedule |
. |
| 教科書 ／Textbook(s) |
. |
| 成績評価の方法・基準 ／Grading method/criteria |
. |
| 履修上の留意点 ／Note for course registration |
Studying the vocabulary wordlists will be completed for homework. |
| コンピテンシーコード表を開く 科目一覧へ戻る |
| 開講学期 ／Semester |
2025年度／Academic Year 2学期 ／Second Quarter |
|---|---|
| 対象学年 ／Course for; |
3年 |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
ニコラス アラン |
| 担当教員名 ／Instructor |
ニコラス アラン |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2025/01/21 |
|---|---|
| 授業の概要 ／Course outline |
When we learn a foreign language, we typically focus on grammar, vocabulary and pronunciation. These are important! However, we sometimes forget to think about pragmatics- the ways in which our language choices can change in different social situations. This short course introduces you to the pragmatics of the English language. You will learn about how conversation is constructed in real-life situations, and how our grammar patterns and vocabulary choices vary in different contexts. The course introduces the concept of speech-as-action. We will use the tools of conversation analysis to describe authentic talk and gain an understanding of how it can vary according to context. You will have opportunities to analyse model talk and apply apply knowledge to your own spoken interactions. Course components 1. In-class activities/active participation You should attend all classes and participate in all activities. Attendance will be taken at the beginning of class. Failure to actively participate in class may lead to points being deducted from the “active participation” category. If you have to miss a class for a legitimate reason (e.g., illness or family emergency), you must contact Allan Nicholas in advance. 2. Assignments/homework Sometimes your instructor will give you assignments to complete for homework. It is important to complete all assignments and hand them in on time. 3. End-term assessments There is an end-term exam. Make-up exams will only be given if you miss a test for a legitimate reason (e.g. illness or family emergency). 4. End-term project You will complete a project at the end of the term to demonstrate your ability to apply the things you have learnt throughout the course. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
[Corresponding Learning Outcomes] (D)Graduates are able to view human society from a global perspective and think about the coexistence of nature and human beings, as well as the happiness, health, and welfare of humankind. (E)Graduates are able to effectively express their thoughts and judgments in writing, orally, and through information media, both inside and outside the country, and to communicate them to others, as well as to understand the information and opinions expressed by others. (F)Graduates are able to determine and carry out the actions they and others, including those from other disciplines, should take and plan and manage work under given constraints in collaborative projects. [Competency codes] C-EC-002-6 C-EC-010-5 C-EC-0012-6 By the end of the course, learners will: a) have some basic knowledge of Speech Act Theory (SAT) b) have knowledge of fundamental concepts related to Conversation Analysis (CA) c) have an understanding of how talk is influenced by social context d) be able to analyse model conversations using CA concepts e) be able to analyse their own English language interactions using CA concepts |
| 授業スケジュール ／Class schedule |
Class 1: Introduction to the course Class 2: Speech-as-action Class 3: Basic CA concepts- adjacency pairs and preferred/dispreferred turns Class 4: How talk-in-interaction is organised- speech acts over multiple turns Class 5: The speech act of requesting- structure Class 6: The speech act of requesting- the request turn Class 7: Social context and language choices Class 8: Repairing a conversation; changing and closing topics Class 9: The listener’s role Class 10: Maintaining a conversation Class 11: Culture and pragmatic norms Classes 12-13: End-term assessment Class 14: End-term project |
| 教科書 ／Textbook(s) |
All materials will be provided by the instructor. |
| 成績評価の方法・基準 ／Grading method/criteria |
Active participation: 5% Final examination: 45% Assignments: 20% End-term project: 30% Student obligations It is the responsibility of students to read the syllabus and complete all assignments, tests and projects on time. If you do not bring the materials you need to class, you will be considered ‘absent.’ If you are exceed the maximum number of absences allowed, the final grade will be an F regardless of your final score for the course. Academic integrity Cheating/plagiarizing other’s work is not allowed. Sometimes the instructor will ask you to complete work in pairs or small groups, and sometimes individually. When working by yourself, you are not allowed to copy other students’ work. |
| 履修上の留意点 ／Note for course registration |
This course is designed for intermediate-level Japanese learners of English; it is not suitable for advanced English speakers. There are no set requirements. However, learners are expected to have completed 1st and 2nd year English core courses. |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
Every student must enroll in the course through Moodle. Weekly announcements will be uploaded on the course page. Please check Moodle for detailed information on assignments or other course information. Please contact your professor if you have any problems accessing the website. If you have problems with your login, please contact or visit SSB (RQ 207-E). The instructor has experience in private industry. |
| コンピテンシーコード表を開く 科目一覧へ戻る |
| 開講学期 ／Semester |
2025年度／Academic Year 1学期 ／First Quarter |
|---|---|
| 対象学年 ／Course for; |
3年 |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
リングル ウイリアム |
| 担当教員名 ／Instructor |
リングル ウイリアム |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2025/01/20 |
|---|---|
| 授業の概要 ／Course outline |
This course aims to help students take control of their language learning. Using free online corpus resources, students will learn how to identify common patterns in language use. Students will learn how to use this data to communicate clearly and effectively in English. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
[Corresponding Learning Outcomes] (D)Graduates are able to view human society from a global perspective and think about the coexistence of nature and human beings, as well as the happiness, health, and welfare of humankind. (E)Graduates are able to effectively express their thoughts and judgments in writing, orally, and through information media, both inside and outside the country, and to communicate them to others, as well as to understand the information and opinions expressed by others. (F)Graduates are able to determine and carry out the actions they and others, including those from other disciplines, should take and plan and manage work under given constraints in collaborative projects. [Competency Codes] C-EC-011-5, C-EC-012-7, C-EC-14-6 By the end of the course students will be able to: 1) identify high-frequency word pairs (noun-verb / adjective-noun, etc.) 2) distinguish between words with similar meanings 3) use prepositions (in, on, by, for, etc.) and articles (a, an, the) in more natural ways 4) understand the common ‘moves’ in academic writing and identify common words used to achieve these ‘moves’ 5) identify resources for learning academic vocabulary words 6) understand how to use free online corpus tools independently to answer their own questions and improve their use of English |
| 授業スケジュール ／Class schedule |
Session 1: Introduction to Corpus Linguistics Session 2: Introduction to Collocations Session 3: Word frequency and n-grams Session 4: Concordances - Contrasting similar words Session 5: Using Prepositions (in, on, with, for, etc.) Session 6: Using Articles (a, an, the) Session 7: Academic Vocabulary and Style Session 8: Common ‘Moves’ in Academic Writing Session 9: Common Words for Achieving these ‘Moves’ Session 10: Using Modals (can, might, may, etc.) Session 11: How to Use Continuous Tense Verbs Session 12: How to Use Participle Forms of Verbs Session 13: Work on Final Projects Session 14: Present Final Projects Final Exam Week: Final Exam (attendance required to pass the course) |
| 教科書 ／Textbook(s) |
No textbook. Materials will be provided. |
| 成績評価の方法・基準 ／Grading method/criteria |
Exercises: 30% Quizzes: 30% Final project: 20% Final Exam: 20% |
| 履修上の留意点 ／Note for course registration |
None |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
Materials and links will be available on the course Moodle page. |
| コンピテンシーコード表を開く 科目一覧へ戻る |
| 開講学期 ／Semester |
2025年度／Academic Year 1学期 ／First Quarter |
|---|---|
| 対象学年 ／Course for; |
3年 |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
金子 恵美子 |
| 担当教員名 ／Instructor |
金子 恵美子 |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2025/01/22 |
|---|---|
| 授業の概要 ／Course outline |
##This course is specifically tailored for Japanese learners of English. You need (near)-native level of Japanese ability to successfully learn from this course.## You will practice both "extensive" and "intensive" reading in this class. Extensive reading (ER), the activity that you had in the first year, is believed to improve overall language ability if enough number of words is read. In this course, students will read more than 40,000 words of graded readers and write and present a book report at the end of the quarter. この授業では、多読と精読の両方に取り組みます。皆さんが1年生の時に行った多読（Exntensive Reading)は、充分な読書量があれば、全般的な英語能力を向上すると言われています。この科目では多読図書4万語を読破し、ブックレポートを作成し、学期の最後で口頭発表します。 精読は難しい英文を文構造や意味を分析し、必要な時は辞書を使いながら読解する読み方を指します。このコースでは、この2つの読み方を通し、英文読解の流暢性を高めることを目指します。 |
| 授業の目的と到達目標 ／Objectives and attainment goals |
[Corresponding Learning Outcomes] (D)Graduates are able to view human society from a global perspective and think about the coexistence of nature and human beings, as well as the happiness, health, and welfare of humankind. (E)Graduates are able to effectively express their thoughts and judgments in writing, orally, and through information media, both inside and outside the country, and to communicate them to others, as well as to understand the information and opinions expressed by others. (F)Graduates are able to determine and carry out the actions they and others, including those from other disciplines, should take and plan and manage work under given constraints in collaborative projects. [Competency codes] C-EC-002-4, C-EC-011-4, C-EC-014-2 This class is to develop reading fluency (reading and understanding English text quickly). The goal of this course is to read more than 40,000 words in three months and orally present one of the book reports to class. この授業の目的は、読解の流暢さ（英文を素早く理解する力）を養うことです。目標は多読用図書4万語を読み、ブックレポートを口頭発表することです。 |
| 授業スケジュール ／Class schedule |
Class 1 Introduction, reading speed check Class 2 Intensive reading 1 Class 3 Book report and presentation 1 ### read 5,000 words ### Class 4 Intensive reading 2 Class 5 Book report and presentation 2 [read 10,000 words] Class 6 Intensive reading 3 Class 7 Book report and presentation 3 Class 8 Midterm exam Class 9 Intensive reading 4 ### read 25,000 words ### Class 10 How to present a book report and practice Class 11 Intensive reading 5 [Field of your interest] Class 12 Book report and presentation 4 Class 13 Students’ presentation 1 Class 14 Students’ presentation 2 ###read 40,000 words### Final Exam Week Final examination |
| 教科書 ／Textbook(s) |
Graded readers are found in the library. Some of them are available online. Supplementary materials will be distributed in class. 多読用図書は図書館、または一部はオンラインのebookで読むことができます。補助教材は授業中に配布します。 |
| 成績評価の方法・基準 ／Grading method/criteria |
1. Number of words and books that you have read [30%] 2. Midterm Exam [20% ] 3. Review test [ 20% ] 4. Book report [10%] 5. Slides and presentation [15%] 6. Active class participation [5%] |
| 履修上の留意点 ／Note for course registration |
- You need to spend time reading graded readers outside the class. - Successful completion of English Strongly Recommended Courses is highly recommended. - Due to the characteristics of the course, if you are (near-)native speakers of English, registration for this course is NOT recommended. 授業外に自分の時間で多読用図書を読むことが必要。 英語SRの単位をすべて習得していることが望ましい。 |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
The course instructor, Emiko Kaneko, worked in Gakken School Management as an English instructor and an academic administrator. She was also in charge of the development and the quality maintenance of English speaking tests in ALC Press. About extensive reading http://www.toyota-ct.ac.jp/intro/education/student_support/tadoku.html |
| コンピテンシーコード表を開く 科目一覧へ戻る |
| 開講学期 ／Semester |
2025年度／Academic Year 1学期 ／First Quarter |
|---|---|
| 対象学年 ／Course for; |
3年 |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
カー ニコラス |
| 担当教員名 ／Instructor |
カー ニコラス |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2025/01/16 |
|---|---|
| 授業の概要 ／Course outline |
This course focuses on notetaking in academic contexts when the notetaker is listening to a lecture that is given in their additional language (English). Notetaking during a lecture is not a single action, but a recursive process which consists of several steps. Students will practice these steps to develop their notetaking and listening skills when listening to lectures in English. A variety of notetaking methods will be practiced, allowing students to discover which approaches are most suitable for them. These skills are crucial when taking lectures in an additional language and also beneficial when attending conferences in your professional life. Please note, while this course practices and develops listening skills, its primary focus is developing notetaking skills. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
[Corresponding Learning Outcomes] (D)Graduates are able to view human society from a global perspective and think about the coexistence of nature and human beings, as well as the happiness, health, and welfare of humankind. (E)Graduates are able to effectively express their thoughts and judgments in writing, orally, and through information media, both inside and outside the country, and to communicate them to others, as well as to understand the information and opinions expressed by others. (F)Graduates are able to determine and carry out the actions they and others, including those from other disciplines, should take and plan and manage work under given constraints in collaborative projects. [Compentency Codes] C-EC-013-3 After completing this course, students will: (1) understand how to segment content into meaningful chunks when listening (2) have learnt to separate information into various levels of importance (3) develop the ability to record information verbatim and transfer this into simplified notes (4) understand the Outline, Cornell and Spray-Chart methods of notetaking (5) understand the discourse features of an academic lecture |
| 授業スケジュール ／Class schedule |
Class 1: Introduction to the unit and steps in note taking Class 2: The Outline Method; Identifying main ideas, support and examples Class 3: The Cornell Method; Abbreviations Part 1 Class 4: The Spray-Chart Method; Abbreviations Part 2 Class 5: Translanguaging and Diagrams in Note-Taking Class 6: Electronic Note-Taking Class 7: Mid-term Exam Class 8: Reviewing Notes: Individual and Group review Class9-10: Putting it all together Part 1- Note-taking during short lectures Class 11: Presentations of note-taking strategies Class 12-13: Putting it all together Part 2 - Note-taking during real-life lectures Class 14: Review activity/test |
| 教科書 ／Textbook(s) |
All materials will be distributed in class or via the course site. |
| 成績評価の方法・基準 ／Grading method/criteria |
Active Participation: 10% Homework Assignments: 15% Mid-term exam: 25% Presentation of note-taking strategies: 15% Review activity/test: 35% |
| コンピテンシーコード表を開く 科目一覧へ戻る |
| 開講学期 ／Semester |
2025年度／Academic Year 4学期 ／Fourth Quarter |
|---|---|
| 対象学年 ／Course for; |
3年 |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
カー ニコラス |
| 担当教員名 ／Instructor |
カー ニコラス |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2025/01/16 |
|---|---|
| 授業の概要 ／Course outline |
This course focuses on teaching students how to understand what is being communicated beyond words. Students will study how identity, gender and regional differences are reflected in language. Additionally, students will learn how language differs according to context and its medium, such as when using social media. Finally, to effectively use English as a lingua franca when talking to people of different cultures, students will be exposed to a variety of World Englishes. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
[Corresponding Learning Outcomes] (D)Graduates are able to view human society from a global perspective and think about the coexistence of nature and human beings, as well as the happiness, health, and welfare of humankind. (E)Graduates are able to effectively express their thoughts and judgments in writing, orally, and through information media, both inside and outside the country, and to communicate them to others, as well as to understand the information and opinions expressed by others. (F)Graduates are able to determine and carry out the actions they and others, including those from other disciplines, should take and plan and manage work under given constraints in collaborative projects. [Competency Codes] C-EC-010-7, C-EC-014-8 After completing this course, students will: (1) understand how social groups are formed and maintained through language (2) understand how social context influences language use (3) be able to use language appropriate for a given register (4) be able to analyze discourse to understand what is being communicated beyond words (5) develop their ability to use language appropriate for a variety of social contexts |
| 授業スケジュール ／Class schedule |
Class 1: What is Sociolinguistics? Class 2: Social Dimensions of Language Class 3: Regional and Social Dialects Class 4: Social and Class Dialects Class 5: Gender and Age Class 6: Style, Context and Register Class 7 and 8: Assessment Task 1 Class 9: Speech Functions Class 10: Politeness and Stereotypes Class 11: Construction of Gender through Language Class 12: Analyzing Discourse Class 13: Varieties of English Class 14: Assessment Task 2 |
| 教科書 ／Textbook(s) |
All materials will be distributed in class or via the course site. |
| 成績評価の方法・基準 ／Grading method/criteria |
Active Participation: 10% Homework Assignments: 15% Assessment Task 1: 35% Assessment Task 2: 40% |
| コンピテンシーコード表を開く 科目一覧へ戻る |
| 開講学期 ／Semester |
2025年度／Academic Year 1学期 ／First Quarter |
|---|---|
| 対象学年 ／Course for; |
3年 |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
ロイ デボプリオ |
| 担当教員名 ／Instructor |
ロイ デボプリオ |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2025/01/18 |
|---|---|
| 授業の概要 ／Course outline |
A technology business is not merely about producing tech-related products; it's about creating value through innovation, understanding market needs, and leveraging technology to improve lives and businesses. As technology continues to evolve, so will the nature of these businesses, requiring them to stay agile and adaptable in a fast-paced environment. The concept of a technology business encompasses organizations that leverage technology to create products or services, solve problems, and drive innovation across various sectors. This course introduces computer science majors to the fundamentals of launching and managing technology-driven businesses. It covers topics such as market identification, technology product development, business models, marketing, funding, and scaling a venture, offering both theoretical understanding and practical applications. Our course discussions will center on the following: Types of Technology Businesses: Software Companies: Develop applications and software solutions, such as operating systems, productivity tools, and enterprise software (e.g., Microsoft, Adobe). Hardware Manufacturers: Produce physical devices and equipment, including computers, smartphones, and IoT devices (e.g., Apple, Samsung). SaaS (Software as a Service) Providers: Offer software solutions on a subscription basis, often hosted in the cloud (e.g., Salesforce, Zoom). E-commerce Platforms: Facilitate online buying and selling, leveraging technology to connect consumers with products (e.g., Amazon, eBay). Tech Startups: Emerging companies that focus on innovative solutions or disruptive technologies, often in areas like artificial intelligence, blockchain, and biotech. Technology businesses employ various business models, including: Subscription Models: Charging customers a recurring fee for access to software or services (e.g., Netflix, Adobe Creative Cloud). Freemium Models: Offering basic services for free while charging for premium features or capabilities (e.g., Spotify, LinkedIn). Direct Sales: Selling products directly to consumers or businesses through physical or online stores (e.g., Dell, Best Buy). Marketplace Models: Creating platforms that connect buyers and sellers (e.g., Airbnb, Etsy). |
| 授業の目的と到達目標 ／Objectives and attainment goals |
Learning Objectives: By the end of the course, students should be able to: Understand key concepts in technology-driven business creation. Develop and market technology products that solve real-world problems. Apply business models suited to technology companies. Gain insights into funding, scaling, and managing tech businesses. This 7-week course provides an intensive exploration of the business aspects of technology, equipping computer science students with a foundation in how to turn tech innovations into successful business ventures. Each assignment is designed to build on previous knowledge, guiding students from identifying market opportunities to pitching and scaling their ideas. |
| 授業スケジュール ／Class schedule |
Course Outline with Weekly Assignments: Week 1: Introduction to Technology Business Topics: What is a technology business? Types of technology businesses (software, hardware, SaaS, platforms). The role of computer scientists in the tech business landscape. Assignment: Tech Business Case Study Task: Choose a successful tech company (e.g., Microsoft, Google, Tesla) and write a 700-word report on its origin, business model, and technology. Investigate the Suggested Sources: Company websites and annual reports (Microsoft, Google, Tesla). Business case studies on platforms like Harvard Business Review or Stanford Business School archives. Books like "How Google Works" by Eric Schmidt and Jonathan Rosenberg or "Elon Musk" by Ashlee Vance. You can also refer to LLM models for citations and references on the above and rephrase your analysis. Week 2: Identifying Market Needs and Opportunities in Tech Topics: Understanding market needs. Identifying gaps where technology can solve problems. Tools for researching market opportunities. Assignment: Market Opportunity Report Task: Identify a specific market (e.g., healthcare, education, finance) and research how technology is addressing or could address a major need. Write a 700-word report. Investigate the Suggested Sources: Industry reports from McKinsey, Gartner, and Forrester on tech trends. Government and industry data on markets (e.g., OECD reports, Statista). White papers and tech blogs like TechCrunch and Wired. You can also refer to LLM models for citations and references on the above and rephrase your analysis. Week 3: Business Models in Technology Topics: Overview of different business models in technology: SaaS, hardware sales, freemium, subscription. Case studies of how companies apply business models. Assignment: Business Model Canvas Task: A. Create a Business Model Canvas for a tech product or service idea. Use the framework to fill in areas like value proposition, customer segments, revenue streams, and key partners. B. Design a UML diagram to demonstrate your ideas. Investigate the Suggested Sources: Business Model Generation by Alexander Osterwalder (for understanding the Business Model Canvas). Online resources and examples from Strategyzer. Case studies from Harvard Business Review or MIT Sloan Management Review. You can also refer to LLM models for citations and references on the above and rephrase your analysis. Week 4: Technology Product Development Topics: The process of building a technology product. Agile development, lean startup, and MVP (minimum viable product). Tools and platforms for prototyping and development. Assignment: Prototype Development Plan Task: Create a development plan for a tech product, including the stages of product creation, user testing, and iteration. Present a wireframe or mockup. Investigate the Suggested Sources: Books like The Lean Startup by Eric Ries. Prototyping tools like Figma, InVision, or Balsamiq. GitHub repositories and technical blogs for coding prototypes. You can also refer to LLM models for citations and references on the above and rephrase your analysis. Week 5: Marketing and Sales for Technology Businesses Topics: Marketing strategies for tech businesses. Digital marketing, SEO, social media, and growth hacking. Sales strategies: direct sales, channel sales, partnerships. Assignment: Marketing Plan for a Tech Product Task: Develop a 1-2 page marketing strategy for a tech product, detailing the target audience, marketing channels, and key metrics to measure success. Suggested Sources: Blogs like HubSpot, Neil Patel, and Buffer for digital marketing strategies. Books like Traction: How Any Startup Can Achieve Explosive Customer Growth by Gabriel Weinberg and Justin Mares. Marketing analytics platforms like Google Analytics for examples of performance tracking. You can also refer to LLM models for citations and references on the above and rephrase your analysis. Week 6: Funding Technology Startups Topics: Overview of funding stages: bootstrapping, angel investment, venture capital, crowdfunding. How to pitch to investors. Key components of a pitch deck. Assignment: Investor Pitch Deck Task: Create a 10-slide pitch deck for a tech business idea, covering the problem, solution, market opportunity, business model, financial projections, and funding needs. Investigate the Suggested Sources: Example pitch decks from successful startups (searchable online via Pitch Deck Examples websites). Books like Pitch Anything by Oren Klaff and Venture Deals by Brad Feld. Blogs from VC firms like Sequoia Capital or Andreessen Horowitz. You can also refer to LLM models for citations and references on the above and rephrase your analysis. Week 7: Scaling and Managing a Technology Business Topics: Challenges of scaling a tech business: team growth, infrastructure, customer acquisition. Operational management in technology companies. Legal and regulatory considerations for scaling. Assignment: Scaling Strategy Task: Write a 700-word report detailing how you would scale your tech business idea from prototype to full product, including team growth, infrastructure, and legal concerns. Investigate the Suggested Sources: Books like Blitzscaling by Reid Hoffman. Blogs and interviews with startup founders (e.g., First Round Review, Y Combinator blog). Regulatory guidelines on scaling businesses in different industries (government websites, industry associations). * You can also refer to LLM models for citations and references on the above and rephrase your analysis. |
| 教科書 ／Textbook(s) |
No textbook is required for this course. All materials will be based on lecture notes, supplementary readings, and online resources. |
| 成績評価の方法・基準 ／Grading method/criteria |
Assessment Breakdown: Weekly Assignments (70%) Final Pitch Deck and Scaling Strategy (30%) Grading Method/Criteria: The grading structure is designed to assess students' understanding of the core concepts related to technology-driven businesses and their ability to apply these concepts to real-world scenarios. The grading breakdown is as follows: Weekly Assignments (70%) Each week’s assignment focuses on a specific aspect of a technology business, building up to a comprehensive understanding by the end of the course. Weekly assignments are weighted equally at 10% each and will be evaluated based on: Clarity and Depth of Analysis: Demonstrating a thorough understanding of the topic. Use of Research and Sources: Effectively utilizing recommended sources and integrating data or insights. Originality and Creativity: Coming up with unique ideas or innovative solutions. Presentation and Professionalism: Well-structured, clear, and concise writing or presentation. Final Pitch Deck and Scaling Strategy (30%) The final project is divided into two parts: Pitch Deck (20%): Assessed the quality and clarity of the business idea, its problem-solution fit, market opportunity, financial projections, and design professionalism. Scaling Strategy (20%): Evaluated based on the feasibility and strategic depth in terms of scaling, team growth, infrastructure, and legal/operational considerations. Criteria: Innovation, realism, practicality, and use of concepts from throughout the course will be key factors. |
| 履修上の留意点 ／Note for course registration |
Course Notes: WEEK 1: Types of Technology Businesses: WEEK 2: Understanding Market Needs: WEEK 3: Different Business Models in Technology: WEEK 4: Technology Product Development WEEK 5: Marketing and Sales for Technology Businesses WEEK 6: Funding Technology Startups WEEK 7: Scaling and Managing a Technology Business Moderate changes to the syllabus may be necessary depending on student ability and time pressure. |
| 参考(授業ホームページ、図書など) ／Reference (course website, literature, etc.) |
Moderate to Advanced English language proficiency would be an advantage. Reference materials will be provided as required. |
| コンピテンシーコード表を開く 科目一覧へ戻る |
| 開講学期 ／Semester |
2025年度／Academic Year 2学期 ／Second Quarter |
|---|---|
| 対象学年 ／Course for; |
3年 |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
イリチュ ピーター |
| 担当教員名 ／Instructor |
イリチュ ピーター |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2025/01/30 |
|---|---|
| 授業の概要 ／Course outline |
This course delves into the dynamic interplay between Artificial Intelligence (AI) and language learning. It offers a critical analysis of how AI technologies are revolutionizing traditional language acquisition methods, fostering innovative, interactive, and tailored learning experiences. Students will explore both the beneficial advancements and the challenges inherent in integrating AI into language education. The curriculum encompasses a range of topics such as Feedback, Personalized Learning, Grammar, Pronunciation, Gamification, and Ethical Considerations. Given the rapidly evolving nature of this field, the specific content of these topics may be subject to annual updates. The course aims to provide students with a comprehensive understanding of AI's role in language learning and to develop their ability to utilize this technology responsibly and effectively in their own language studies. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
[Competency Codes] C-EC-009-3, C-EC-012-9, C-EC-006-1 [Course Objectives] 1. Understand the Role of AI in Language Learning: Gain comprehensive knowledge of how AI technologies are applied in language education. 2. Critically Analyze Advancements and Challenges: Evaluate the benefits and potential drawbacks of AI in language acquisition. 3. Explore Ethical and Cultural Implications: Understand the ethical considerations and cultural impacts of AI-driven language learning tools. 4. Investigate Practical AI Solutions: Become familiar with proposed innovative AI solutions for improving language learning. [Learning Outcomes] 1. Graduates are able to effectively express their thoughts and judgments in writing orally and through information media both inside and outside the country and to communicate them to others as well as to understand the information and opinions expressed by others. 2. Graduates are able to determine and carry out the actions they and others including those from other disciplines should take and plan and manage work under given constraints in collaborative projects. |
| 授業スケジュール ／Class schedule |
Class 1: Introduction to AI in Language Learning Class 2: Feedback and Correction Class 3: Personalized Learning Class 4: Learning of Vocabulary and Grammar Class 5: Speech Recognition and Pronunciation Training Class 6: Dialogic, Chatbots and Conversational Practice Class 7: Gamification in AI Language Learning Class 8: Immersive Learning Class 9: Continuous Learning Class 10: Language Diversity and AI, Accessibility, and Ethical Considerations Class 11: AI Prompt Design Class 12: Review Class 13: Presentation Day 1 Class 14: Presentation Day 2 *The schedule may change based on the number of students. |
| 教科書 ／Textbook(s) |
No textbook will be used. Course material will be made available on Moodle. |
| 成績評価の方法・基準 ／Grading method/criteria |
Online Quizzes: 80% Project Presentation/Paper: 20% |
| 履修上の留意点 ／Note for course registration |
Late assignments will lose 10% per day. After 5 days, a late assignment will receive a mark of 0%. |
| コンピテンシーコード表を開く 科目一覧へ戻る |
| 開講学期 ／Semester |
2025年度／Academic Year 3学期 ／Third Quarter |
|---|---|
| 対象学年 ／Course for; |
3年 |
| 単位数 ／Credits |
2.0 |
| 責任者 ／Coordinator |
TBD-2 |
| 担当教員名 ／Instructor |
TBD-2 |
| 推奨トラック ／Recommended track |
－ |
| 先修科目 ／Essential courses |
－ |
| 更新日／Last updated on | 2025/01/24 |
|---|---|
| 授業の概要 ／Course outline |
This course is an introduction to machine learning techniques and their applications in linguistics, focusing on practical skills and theoretical understanding. Students will learn foundational statistical concepts and data engineering, and gain hands on experience in constructing machine learning algorithms such as k-means clustering, decision trees, random forests, and extreme gradient boosted algorithms (XGBoost). The course culminates in a final project where students apply learned methods to real-world linguistic problems. |
| 授業の目的と到達目標 ／Objectives and attainment goals |
[Corresponding Learning Outcomes] (C) Graduates are able to apply their professional knowledge of mathematics, natural science, and information technology, as well as the scientific thinking skills such as logical thinking and objective judgment developed through the acquisition of said knowledge, towards problem solving. [Competency Codes] C-EC-001-5, C-EC-014-9 By completing this course, students will: 1) Understand the basic principles of machine learning and its applications to linguistic data. 2) Use R and Praat to analyze linguistic data, including phonetic and text-based datasets. 3) Apply machine learning algorithms to linguistic tasks, such as clustering, classification, and prediction. 4) Develop the ability to critically evaluate machine learning methods and their ethical implications in linguistics. 5) Present findings from linguistic analyses effectively using English. |
| 授業スケジュール ／Class schedule |
Class 1: Introduction to Machine Learning, R, and Praat. Class 2: Statistical Primer and Data Engineering Class 3: Ethics in Machine Learning Class 4: Final Project Workshop Class 5: Unsupervised Machine Learning Algorithms Class 6: Introduction to Supervised Machine Learning Algorithms Class 7: Random Forests and Hyperparameter Tuning Class 8: Extreme Gradient Boosted Algorithms Class 9: Phonetics and Speech Recognition Class 10: Applications in Sentiment Analysis Class 11: Pre-trained Language Models Class 12: Natural Language Processing Class 13 & 14: Final Project Presentations |
| 教科書 ／Textbook(s) |
No textbook. All materials will be provided. |
| 成績評価の方法・基準 ／Grading method/criteria |
Weekly Problems: 25% Active Participation: 10% Final Report: 40% Oral Presentation: 25% |